NVIDIA RTX 5090 outperforms AMD and Apple running local OpenAI language models

Llama.cpp is an open-source framework that lets you run LLMs (large language models) with great performance especially on RTX ...

Is This AI Stock Still Worth Buying After Its Massive Rally?

The bulls will tell you that Nvidia still sells the best picks and shovels for the AI gold rush, and that feverish demand won ...

What’s next for AI: Researchers at Nvidia, Apple, Google and Stanford envision the next leap forward

Nvidia also believes that future progress of AI will be fueled by contributions in the open-source community. In an interview ...
IEEE

Efficient Multi-GPU Programming in Python: Reducing Synchronization and Access Overheads

Abstract: Python has become increasingly significant in domains such as data science, machine learning, scientific computing, and parallel programming. The libraries CuPy and Numba enable the ...
GitHub

python 3.13 cuda 12.9 torch 2.8 Compilation failed

pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu129 When trying to install xFormers from source on Windows using Python 3.13, the build ...
blockchain

Enhancing GPU Efficiency: Understanding Global Memory Access in CUDA

Explore how efficient global memory access in CUDA can unlock GPU performance. Learn about coalesced memory patterns, profiling techniques, and best practices for optimizing CUDA kernels. Efficient ...
IEEE

Batched SVD on CPU-GPU based on integer programming

Abstract: Singular value decomposition (SVD) is a commonly employed matrix factorization. In real-world applications, the data requiring SVD is usually batched in small matrices within a size not ...
GitHub

[Issue]: GPU stats: Torch not compiled with CUDA enabled [NVIDIA GPU]

When starting SD.Next I have an error message indicating "GPU stats: Torch not compiled with CUDA enabled", leading to no CUDA acceleration, so only CPU was used. To ...